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West Virginia Computer Aided

Location:
Morgantown, WV
Posted:
October 19, 2023

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Resume:

Benjamin Akoh

681-***-**** ad0he8@r.postjobfree.com www.linkedin.com/in/benjamin-akoh-1b

PROFESSIONAL PROFILE

Actively seeking exciting opportunities in the field of specialty chemicals, materials, and energy. Proven potential in process engineering, project management with funded research projects, independently learning new tools, process design, modeling, optimization, technical report writing, and excellent communication. Ability to work in a multidisciplinary and collaborative environment.

Experienced in process modeling and optimization of process energy systems using AspenTech Products such as Aspen Plus, HYSYS, Aspen Dynamics, MATLAB, and Python.

Legally authorized to work in the United States: YES (Able to show proof of the EAD card upon resumption)

Needing Visa Sponsorship in the future: NO

RELOCATION ONSITE: Yes

EDUCATION

West Virginia University, Morgantown, WV May 2023

Master of Science in Chemical Engineering

Overall GPA: 3.5

Federal University of Technology, Minna, Nigeria October 2018 Bachelor of Engineering in Chemical Engineering

Overall GPA: 4.61/5.00

PUBLICATIONS

Tian, Y., Akintola, A., & Akoh, B. (2023). A Process Design, Intensification, and Modularization Approach for Membrane-Assisted Reaction Systems. In Computer Aided Chemical Engineering (52), 3159-3164. Elsevier. https://doi.org/10.1016/B978-0-443-15274-0.50504-7 Yahya, M. D., Obayomi, K. S., Orekoya, B. A., Olugbenga, A. G., & Akoh, B. (2021). Process evaluation study on the removal of Ni (II) and Cu (II) ions from an industrial paint effluent using kola nut pod as an adsorbent. Journal of Dispersion Science and Technology, 43(1), 105-113. https://doi.org/10.1080/01932691.2020.1822178

Akoh, B., Iyoha, L.S. & Iwuajoku, G. (2020). Removal of Nickel using various Biosorbents: Review. African Journal of Environmental and Natural Science Research, 3(3), 18-36. RESEARCH PROJECT EXPERIENCE

Modular Supply Chain Optimization of Renewable Hydrogen, Methanol, and Ammonia Production Masters’s Thesis Project Aug 2021- May 2023

Worked on a project to perform the optimization of hydrogen-methanol-ammonia production systems integrated with the electricity grid and renewable energy sources such as wind and solar. The project emphasizes on the integration of renewable energies such as solar, wind, and natural gas with hydrogen, methanol, and ammonia storage systems modeled and optimized in Aspen Plus to minimize the levelized cost of energy and CO2 emission.

Developed a mathematical model and optimization strategy for the optimal design and operation of the multi-product energy storage system that can produce hydrogen, ammonia, and methanol from renewable energy sources. The daily and seasonal fluctuation associated with renewable energy production was handled by developing an integrated hierarchical clustering algorithm and Monte Carlo distributions. The computational complexity and cost associated with most optimization studies were reduced using the developed mixed integer linear model.

Served as a key team member coordinating task deliverables for effectiveness, managed project deadlines with regular monthly updates to research supervisor and project managers at the Institute for Design and Advanced Energy Systems (IDAES). Actively contributed to research publications and other projects in the research team, such as (i) developing a mixed integer linear programming model for optimizing energy consumption and CO2 reduction from an ammonia energy storage plant, (ii) Developing a novel process intensification model based on the Generalized Model Representation Framework (GMF) for hydrogen production during methane reforming in membrane-assisted reactor systems, with the formulation of Orthogonal Collocation on Finite Elements to model the spatial distribution with each module. (iii) Develop intelligent computer-aided design methods to rapidly screen vast process alternatives. Developed an Integrated IDEAS process simulation and reinforcement learning (RL) algorithm for automatic and optimal process design. The developed algorithm generated the optimal design with maximum benzene yield in a hydrodealkylation process with faster computational time. Fuzzy Logic Model for Temperature Control in Heat Exchanger Jan 2023-March 2023 Class Project

A collaborative project on implementing a fuzzy logic control system for a heat exchanger in a continuous stirred catalytic reactor for an artificial intelligence in mechanical engineering course. My specific responsibilities include reviewing the literature, collecting and analyzing data, modeling the control system using the fuzzy logic approach, writing weekly technical project reports, and implementing the modeled systems on the heat exchanger in MATLAB.

Compared the generated results with published literature for testing and validating the written Fuzzy logic algorithm.

RELEVANT COURSES

Mathematical Methods Advanced Optimization Advanced Topics in Process Synthesis Statistical Methods Regression Analysis Experimental Design INDUSTRIAL INTERNSHIPS

Centre for Wastewater Treatment, Minna, Nigeria Nov 2018-May, 2019 Process Engineering Internship

Centre for Genetic Engineering and Biotechnology, Minna, Nigeria May 2017- Nov2017 Research and Development Internship

LEADERSHIP AND VOLUNTEER EXPERIENCE

Served as the Publicity officer and Vice President of the West Virginia University chapter of the African Student Association from 2021-2022 and 2022-2023, respectively.

Served as a DEI volunteer representing the Chemical Engineering Department at Statler College of Engineering of West Virginia University from 2021-2023.

Served as Class President of the Chemical Engineering set of 2018 at the Federal University of Technology from 2016-2018.

TECHNICAL SKILLS

Process Design, Modeling, Simulation, and Optimization: AspenTech Products, MATLAB, Python Data Analytics and Visualization: SPSS, Tableau, Microsoft Excel, JMP, Python. Documentation: Latex for Technical/Research Writing, MS-Office RELOCATION ONSITE/REMOTE: Yes, to both.



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